Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7935933421935270537C2D530A95B77E2969E5FFAA70A010EECD7FB2BEACA0745B019 |
|
CONTENT
ssdeep
|
384:up/v5yKxZ/0WxFThqsPQDewxJnjTOb02LkA+INCBa4wZXgwnViIphNS9IMmy:kxZ/DFTksPhwfjTOIhIEBa4QjVik48y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3cc1c3333e9c38 |
|
VISUAL
aHash
|
ff8f8f8383ffffff |
|
VISUAL
dHash
|
3b3a3c3b3b240f16 |
|
VISUAL
wHash
|
8b8b87838383c3fe |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
3b3a3c3b3b240f16,3f256dccccf6b939,63e3c1c1070f3795 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 159 techniques to evade detection by security scanners and make reverse engineering more difficult.